Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints

Gombolay, Matthew; Wilcox, Ronald J.; Shah, Julie A.

doi:10.15607/rss.2013.ix.049

Cited by 81 publications

(74 citation statements)

References 29 publications

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“…Auction-based approaches to task allocation have been proposed for tasks with precedence [17], with temporal [8,20] constraints, and for dynamic environments [25] with single robot tasks. Environments that contain multi-robot tasks, with and without constraints, are less well investigated than their single-robot counterparts [12].…”

Section: Related Workmentioning

confidence: 99%

Evaluating Multi-Robot Teamwork in Parameterised Environments

Schneider

Sklar

Parsons

2016

Towards Autonomous Robotic Systems

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Abstract. The work presented here investigates the impact of certain environmental parameters on the performance of a multi-robot team conducting exploration tasks. Experiments were conducted with physical robots and simulated robots, and a diverse set of metrics was computed. The experiments were structured to highlight several factors: (a) single-robot versus multi-robot tasks; (b) independent versus dependent (or "constrained") tasks; and (c) static versus dynamic task allocation modes. Four different task allocation mechanisms were compared, in two different exploration scenarios, with two different starting configurations for the robot team. The results highlight the distinctions between parameterised environments (characterised by the factors above, the robots' starting positions and the exploration scenario) and the effectiveness of each task allocation mechanism, illustrating that some mechanisms perform statistically better in particular environment parameterisations.

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Section: Related Workmentioning

confidence: 99%

Evaluating Multi-Robot Teamwork in Parameterised Environments

Schneider

Sklar

Parsons

2016

Towards Autonomous Robotic Systems

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“…There are various techniques for multi-robot task scheduling such as market-based [28,29], bio-inspired [30,31], and hybrid approaches [32]. In the market-based approach, the task is divided into a set of subtasks and the robots bid to carry out these subtasks.…”

Section: Multi-robot Task Schedulingmentioning

confidence: 99%

CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies

et al. 2018

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This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses. First, efficient CPS data collection: when limited communication bandwidth meets numerous CPS devices, we need to make more effort to study efficient wireless communication scheduling strategies. Second, accurate and robust localization: localization is the basis for many fundamental operations in smart warehouses, but still needs to be improved from various aspects like accuracy and robustness. Third, human activity recognition: human activity recognition can be applied in human-computer interaction for remote machine operations. Fourth, multi-robot collaboration: smart robots will take the place of humans to accomplish most tasks particularly in a harsh environment, and smart and fully-distributed robot collaborating algorithms should be investigated. Finally, we point out some challenging issues in the future CPS-based smart warehouse, which could open some new research directions.

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“…4.6 we consider a variant of a painting and assessment task presented in [39] where robot actions are only partially observable to human operators. The task involves the real-time scheduling of painting robots for the fuselage of an aeroplane.…”

Section: Collaborative Manufacturingmentioning

confidence: 99%